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This study aims to analyze the socio-ecological policy trade-off caused by technological innovations in the post-COVID-19 era. The study outcomes are utilized to design a comprehensive policy framework for attaining sustainable development goals (SDGs).

Study is done for 100 countries over 1991–2019. Second-generation estimation method is used. Innovation is measured by total factor productivity, environmental quality is measured by carbon dioxide (CO₂) emissions and social dimension is captured by unemployment.

Innovation–CO₂ emissions association is found to be inverted U-shaped and innovation–unemployment association is found to be U-shaped.

The study outcomes show the conflicting impact of technological innovation leading to policy trade-off. This dual impact of innovation is considered during policy recommendation.

The policy framework recommended in the study shows a way to address the objectives of SDG 8, 9 and 13 during post-COVID-19 period.

Policy recommendations in the study show a way to internalize the negative social externality exerted by innovation.

This study contributes to the literature by considering the policy trade-off caused by innovation and recommending an SDG-oriented policy framework for the post-COVID-19 era.

This study aims to understand the influence of cartoon characters on the generation alpha (GA) in purchase decision-making, supported by the theory of planned behaviour.

Quantitative study was used to collect data from 294 Indian parents on behalf of their children (between 8 and 12 years) using convenience sampling and 20 items Likert scale questionnaire. Partial least squares-structural equation modelling was used to analyse the data and for hypothesis testing.

The study shows the favourable impact of cartoon characters to influence the behaviour of GA while making the final purchase decision. The likability was found to be significantly related to the recall, willingness to try/buy. The recall was significantly related to willingness to try/buy and purchase intention. Willingness to try/but was significantly related to purchase intention, but it has no significant relation with the final purchase decision, whereas purchase intention had significant relation with the final purchase decision.

The study indicates that generating likability for cartoon characters among GA is important. Managers should recognize that although parents make the final purchase decision, however, children play an influential role. Advertisers should plan their communication accordingly. An emotional connection with cartoons can influence GA, which further impacts recall, willingness to try/buy, purchase intention and decision.

Various studies have been conducted in western countries, but very few studies have been conducted in emerging markets like India, highlighting cartoon characters’ influence on GA’s purchase decision-making, with theoretical underpinnings. The study also explores the importance of GA, an emerging consumer market in today’s digitalized era, which is highly influenced by technological gadgets. It becomes challenging for marketers to promote their products on television to influence GA purchase behaviour.

The purpose of this study is to investigate the challenges before India for electric vehicle (EV) adoption by 2030. The study further looks into the measures taken by the Government of India (GOI) to promote research and development in EV sector and what is yet to be done.

In the present study, the challenges are identified allied to the commercialization of EVs in India. The data are collected, analyzed and compiled through secondary sources. The secondary data give a concise insight and comprehensive information regarding what is occurring around the globe as well as in the Indian context. Further, the challenges are investigated through a focus group study consisting of 11 participants from industry and academia.

The findings from the study are the critical roles of sharing economy and public utilities in the promotion of EV adoption, given the high cost of EV, lack of infrastructure and poor purchasing power of Indian customers. The sharing economy perspective provides various opportunities for the government to manage the resources (electric-powered transport system) optimally. Further, the study compares the global perspective in assigning the target figures.

The study highlights the facilitating role of the shared format in EV technology promotion but ignores the hurdles that can come in its implementations. Also, the focus group study has its limitation as it relies more on participants' perceptions and opinions.

The present study assists GOI and various stakeholders in having a realistic plan rather than daydreaming with overambitious goals. The diffusion of technology as a shared format (especially in the context of EV) has not been academically approached in the past literature.

The International Journal of Organizational Analysis (IJOA) is a leading journal that has published high-quality research focused on various facets of organizational analysis since 1993. This paper aims to conduct a retrospective analysis of the IJOA journey from 2005 to 2020.

The data used in this study was extracted using the Scopus database. The bibliometric analysis, using several indicators, is adopted to reveal the major trends and themes of the journal. The mapping of bibliographic data is carried using VOSviewer and Biblioshiny.

The study findings indicate that IJOA has grown for publications and citations since its inception. Five significant research directions emerged, i.e. organizational diagnostics, organization citizenship behaviour, organizational commitment to employee retention, psychological capital and firm performance, based on cluster analysis of IJOA’s publications.

To the best of the authors’ knowledge, this is the first study to conduct a comprehensive bibliometric analysis of IJOA. The study presents the key themes and trends emerging from a leading journal, considered a high-quality journal, for researching various facets of organizational functioning by academicians, scholars and practitioners.

International Journal of Emerging Markets (IJoEM) is a leading journal that publishes high-quality research focused on emerging markets. In 2020, IJoEM celebrated its fifteenth anniversary, and the objective of this paper is to conduct a retrospective analysis to commensurate IJoEM's milestone.

Data used in this study were extracted using the Scopus database. Bibliometric analysis, using several indicators, is adopted to reveal the major trends and themes of a journal. Mapping of bibliographic data is carried using VOSviewer.

Study findings indicate that IJoEM has been growing for publications and citations since its inception. Four significant research directions emerged, i.e. consumer behaviour, financial markets, financial institutions and corporate governance and strategic dimensions based on cluster analysis of IJoEM's publications. The identified future research directions are focused on emergent investments opportunities, trends in behavioural finance, emerging role technology-financial companies, changing trends in corporate governance and the rising importance of strategic management in emerging markets.

To the best of the authors' knowledge, this is the first study to conduct a comprehensive bibliometric analysis of IJoEM. The study presents the key themes and trends emerging from a leading journal considered a high-quality research journal for research on emerging markets by academicians, scholars and practitioners.

The case study illustrated strategic, marketing, financial and operational challenges faced by Netflix in India's growing SVoD market. This case is appropriate in courses such as Strategic Management, Business Strategy, Marketing Management and International Marketing for postgraduate MBA students, other graduate-level management programs and undergraduate-level students. The case was developed to raise awareness among students, to understand the complex nature of the technology-driven industry, to survive in the highly competitive market, to set up a company that serves the huge Indian market. This case delves into the dynamics of marketing on the Indian market, characterized by unorganized players such as local cable television; torrent downloads and organized and established players, low digitalization rates, language barriers, low internet penetration, lack of infrastructure, price-sensitive consumers. Due to up-gradation in technology, internet penetration, an increase in smartphone users, and the market has undergone a notable amount of change, due to a lot on new entrants, competitions, substitutes. The case states various obstacles, for a multinational company while entering the market such as India and how they are required to strategize, mold their marketing mix, need to analyze en-cash their strength, overcome their weakness, take maximum advantage of opportunities and modify their strategies to face huge challenges. The specific learning outcome of the case will help students to understand the strategy that multinational companies can adopt to sustain, compete in emerging countries such as India and within that emerging market such as streaming videos on demand (SVoD). This case will help students to understand the importance of internal and external resources, which help multinational companies to make strategies based on these resources. The case study offers learners the opportunity to explore the strategy in a dynamic environment. This case also highlights the critical issues that should be addressed by multinational companies when entering into a foreign market. The case highlights the importance of analyzing the competitive environment in which it’s going to compete and sustain. It can be used to introduce Ansoff’s growth matrix, internal and external factor analysis and porter’s five forces in the delivery of course for both regular and executive programs. The case should be offered in the middle term periods of the course. Additionally, the case could be used in marketing courses to indicate the importance of scanning the business environment in marketing activities for any organization. The case illustrates the strategies that companies can undertake to expand the market, introduce new products, as per the requirement of business environment and concerns linked with innovating approaches to support the organization to satisfy a larger number of price-sensitive consumers from varied backgrounds.

Netflix has been optimistic about the potential growth of the Indian market. It will grow slowly and gradually and become profitable. The SVoD market in India has been price sensitive. There are no plans for cheaper prices. Netflix had a long way to go. The pricing model of Netflix was a hurdle in its growth, but the future of Netflix in India was bright. There have been numerous challenges in terms of government regulations, pricing structure and an increase in the number of competitive players on the market. Netflix believed that Indian audiences enjoyed “Bollywood” film productions but watched low-quality soap opera content on television. Television audiences were a massive untapped market for their brand of original, exclusively produced content. Can Netflix come up with a marketing and growth strategy, or else they might be looking to lose market share and revenue. Should a new product such as Amazon and MI fire stick be introduced in the existing market like their competitors? Should they enter the existing market with existing products, or should they seek a new market in India, such as the rural market, the Pyramid market, the Tier II market and the City III market? Should they diversify into a new market with new products? How Netflix should plan its market communication if it wants to launch a new product or if it wants to reposition its existing product. Netflix had to rethink its strategies and also needed to address these issues so that they could travel smoothly on Indian roads. High marketing budget and aggressive promotions helped Netflix India to make a profit in its first year.

Postgraduate MBA students, other graduate-level management programs and undergraduate-level students.

Teaching notes are available for educators only.

CSS 11: Strategy.

Due to unceasing declination in environment, sustainable agro-food supply chains have become a topic of concern to business, government organizations and customers. The purpose of this study is to examine a problem associated with sustainable network design in context of Indian agro-food grain supply chain.

A mixed integer nonlinear programming (MINLP) model is suggested to apprehend the major complications related with two-echelon food grain supply chain along with sustainability aspects (carbon emissions). Genetic algorithm (GA) and quantum-based genetic algorithm (Q-GA), two meta-heuristic algorithms and LINGO 18 (traditional approach) are employed to establish the vehicle allocation and selection of orders set.

The model minimizes the total transportation cost and carbon emission tax in gathering food grains from farmers to the hubs and later to the selected demand points (warehouses). The simulated data are adopted to test and validate the suggested model. The computational experiments concede that the performance of LINGO is superior than meta-heuristic algorithms (GA and Q-GA) in terms of solution obtained, but there is trade-off with respect to computational time.

In literature, inadequate study has been perceived on defining environmental sustainable issues connected with agro-food supply chain from farmer to final distribution centers. A MINLP model has been formulated as practical scenario for central part of India that captures all the major complexities to make the system more efficient. This study is regulated to agro-food Indian industries.

The suggested network design problem is an innovative approach to design distribution systems from farmers to the hubs and later to the selected warehouses. This study considerably assists the organizations to design their distribution network more efficiently.

The purpose of this study is to understand how the business environment of a country has an impact on cash management policies of the firms and also to investigate if there is any asymmetry in cash adjustment dynamics when a firm deviates from its long-term target of cash holdings.

Using a sample of seven emerging Asian countries in the period 2001–2019, the authors investigate the role of country specific variables in the corporate cash holdings and their cash adjustment mechanism. They use the panel data regression method to estimate the results.

The authors find that the overall financial development of a country has a significant impact on corporate cash holdings and cash adjustment dynamics. When a firm has excess cash, the speed of adjustment towards the target is faster as compared to when it has deficit cash holdings. Further, when a firm holds excess cash, it adjusts towards the target using cash from investments; in case of deficit cash holdings, the adjustment happens via cash from financing activities.

The results of the study are helpful to corporate managers as these are important references to them to understand and design cash management policies by considering factors that are measured at the country level. It also provides them a clearer understanding about the role of corporate board and information asymmetry in cash holdings.

This is the first study which examines the role of country-specific variables on corporate cash holdings and their adjustment mechanism of firms in emerging Asia. Further, the study extends the literature by providing new evidence that there is asymmetry in cash adjustment dynamics of firms after controlling for the overall financial development of a country.

The purpose of this study is to identify important criteria for sustainable recovery of digital entrepreneurship from distress situation using shared resources. During pandemic disruption, the importance of sharing economy in managing business efficiency is reflected through this research.

The present study advances the knowledge on shared resources in business by integrating case study approach with multi criteria decision-making (MCDM) model. A fuzzy analytic hierarchy process approach is adopted to compute criteria weights, and a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) technique is used to rank the sharing economy entrepreneurial ventures during COVID-19 pandemic in the context of emerging economy.

The present study identified five most important enablers (technological innovation, technology expertise, convergence of virtual and physical spaces, collaboration rather than competition, and benefits to underserved groups through transparency) for sustainable recovery of sharing economy ventures in emerging economy. For example, the study highlights online tutoring through shared intellect as the most sought after sharing economy venture during pandemic disruption, which fulfills the identified enablers.

The proposed framework provides an accurate decision support tool to rank the various identified potential enablers of sharing economy during disruptions. Further, the approach is practically relevant to sharing economy entrepreneurs in selecting the best approach to recover sustainability during pandemic.

The study is unique in addressing the need of sustainability for digital ventures via sharing economy approach in emerging economy (India). To develop a conceptual framework, the present study incorporates a case based approach together with the hybrid MCDM model. Further, the extant literature on disruptions is enhanced by prioritizing the enablers for sharing economy during pandemic.